skill-creator-plus

Analyze local skills and references to generate SKILL.md and openai.yaml artifacts.

Updated Feb 21, 2026

Search Tags:#automation #templates #qa #yaml #workflows #skill-generation #codex-skills

Ready to run

npx skills add https://github.com/leeyuyun/agent_skills --skill skill-creator-plus-leeyuyun

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: skill-creator-plus
Source: https://github.com/leeyuyun/agent_skills/tree/main/skill-creator-plus
Command: npx skills add https://github.com/leeyuyun/agent_skills --skill skill-creator-plus-leeyuyun

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pyyaml, and includes scripts (resource) and references (resource) components.

What problem does it solve?

Enables a structured, study-first process to design robust, reusable Codex skills by analyzing local skills and curated references before generation.

Core Features & Use Cases

Guides pre-generation study of local SKILL.md metadata and references.
Automates generation of skill skeletons (SKILL.md) and UI metadata (agents/openai.yaml).
Provides QA scaffolding, references, and templates to ensure production-ready skills.

Quick Start

Run the initialization to scaffold a new skill and immediately customize SKILL.md and resources.

Frequently Asked Questions about skill-creator-plus

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I create reusable Codex skills with automated YAML workflows?▼

You can create reusable Codex skills by running the initialization script to scaffold a new skill, then customizing SKILL.md and resource directories. Automated tooling enforces a study-first workflow that analyzes local references before synthesizing production-ready skill artifacts.

What is a study-first workflow for skill generation?▼

A study-first workflow for skill generation requires analyzing local SKILL.md metadata and curated references before synthesis. This structured approach ensures robust, modular skills by validating frontmatter entry points and optional resource directories before generating final artifacts.

Does skill generation require pyyaml to produce openai.yaml agents?▼

Yes, producing openai.yaml agents requires the pyyaml dependency. The generate_openai_yaml.py script utilizes pyyaml to automate UI metadata generation and ensure the resulting YAML agents integrate properly with Codex workflows.

How do I validate SKILL.md frontmatter and resource directories?▼

You validate SKILL.md frontmatter and resource directories using the provided QA scaffolding and automated validation tooling. The system enforces a frontmatter-based entry point and checks optional resource directories to ensure skills are production-ready.

What's the best way to scaffold a modular skill with scripts and references?▼

The best way to scaffold a modular skill is running the init_skill.py script. This initialization quickly generates a skeleton containing SKILL.md, scripts, and references, allowing you to immediately customize resources for robust Codex skill workflows.

When should I not use automated skill generation templates?▼

You should not use automated skill generation templates when your project lacks local SKILL.md metadata or curated references for analysis. The enforced study-first workflow requires existing local skills and references to synthesize robust, modular skills successfully.